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Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals
April 22, 2024, 4:41 a.m. | Yusuf Guven, Ata Koklu, Tufan Kumbasar
cs.LG updates on arXiv.org arxiv.org
Abstract: General Type-2 (GT2) Fuzzy Logic Systems (FLSs) are perfect candidates to quantify uncertainty, which is crucial for informed decisions in high-risk tasks, as they are powerful tools in representing uncertainty. In this paper, we travel back in time to provide a new look at GT2-FLSs by adopting Zadeh's (Z) GT2 Fuzzy Set (FS) definition, intending to learn GT2-FLSs that are capable of achieving reliable High-Quality Prediction Intervals (HQ-PI) alongside precision. By integrating Z-GT2-FS with the …
abstract arxiv cs.ai cs.lg decisions general logic look paper precision prediction quality risk systems tasks tools travel type uncertainty
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